Sketch-Up in the Virtual World. - Jing Wang 023; Feng Tian 006; Hock Soon Seah (CW, 2008)

Robust semi-supervised nonnegative matrix factorization. - Jing Wang 023; Feng Tian 006; Chang Hong Liu; Xiao Wang 017 (IJCNN, 2015)

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization. - Jing Wang 023; Xiao Wang 017; Feng Tian 006; Chang Hong Liu; Hongchuan Yu; Yanbei Liu (ICONIP (2), 2016)

Community Preserving Network Embedding. - Xiao Wang 017; Peng Cui 001; Jing Wang 023; Jian Pei 001; Wenwu Zhu 001; Shiqiang Yang (AAAI, 2017)

Multi-Component Nonnegative Matrix Factorization. - Jing Wang 023; Feng Tian 006; Xiao Wang 017; Hongchuan Yu; Chang Hong Liu; Liang Yang 002 (IJCAI, 2017)

Robust nonnegative matrix factorization with ordered structure constraints. - Jing Wang 023; Feng Tian 006; Chang Hong Liu; Hongchuan Yu; Xiao Wang 017; Xianchao Tang (IJCNN, 2017)

Unsupervised feature selection via Diversity-induced Self-representation. - Yanbei Liu; Kaihua Liu; Changqing Zhang; Jing Wang 023; Xiao Wang 017 (Neurocomputing, 2017)

Learning community structures: Global and local perspectives. - Xianchao Tang; Tao Xu; Xia Feng; Guoqing Yang; Jing Wang 023; Qiannan Li; Yanbei Liu; Xiao Wang 017 (Neurocomputing, 2017)

Graph-regularized concept factorization for multi-view document clustering. - Kun Zhan; Jinhui Shi; Jing Wang 023; Feng Tian 006 (J. Vis. Commun. Image Represent., 2017)

Constrained Low-Rank Representation for Robust Subspace Clustering. - Jing Wang 023; Xiao Wang 017; Feng Tian 006; Chang Hong Liu; Hongchuan Yu (IEEE Trans. Cybern., 2017)

Edge Content Enhanced Network Embedding. - Hongcui Wang; Erwei Wang; Di Jin 001; Xiao Wang 017; Jing Wang 023; Dongxiao He (ICTAI, 2018)

Ranking Preserving Nonnegative Matrix Factorization. - Jing Wang 023; Feng Tian 006; Weiwei Liu 003; Xiao Wang 017; Wenjie Zhang 001; Kenji Yamanishi (IJCAI, 2018)

Power-law Distribution Aware Trust Prediction. - Xiao Wang 017; Ziwei Zhang 001; Jing Wang 023; Peng Cui 001; Shiqiang Yang (IJCAI, 2018)

Adaptive Structure Concept Factorization for Multiview Clustering. - Kun Zhan; Jinhui Shi; Jing Wang 023; Haibo Wang; Yuange Xie (Neural Comput., 2018)

Diverse Non-Negative Matrix Factorization for Multiview Data Representation. - Jing Wang 023; Feng Tian 006; Hongchuan Yu; Chang Hong Liu; Kun Zhan; Xiao Wang 017 (IEEE Trans. Cybern., 2018)

Advances in nonnegative matrix factorization with application on data clustering - Jing Wang 023 (2018)

Orderly Subspace Clustering. - Jing Wang 023; Atsushi Suzuki; Linchuan Xu; Feng Tian 006; Liang Yang 002; Kenji Yamanishi (AAAI, 2019)

Hyperbolic Ordinal Embedding. - Atsushi Suzuki; Jing Wang 023; Feng Tian 006; Atsushi Nitanda; Kenji Yamanishi (ACML, 2019)

Attributed Subspace Clustering. - Jing Wang 023; Linchuan Xu; Feng Tian 006; Atsushi Suzuki; Changqing Zhang; Kenji Yamanishi (IJCAI, 2019)

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. - Yuhui Zheng; Linchuan Xu; Taichi Kiwaki; Jing Wang 023; Hiroshi Murata; Ryo Asaoka; Kenji Yamanishi (KDD, 2019)

Multiview Consensus Graph Clustering. - Kun Zhan; Feiping Nie 001; Jing Wang 023; Yi Yang 001 (IEEE Trans. Image Process., 2019)

Discovering Latent Class Labels for Multi-Label Learning. - Jun Huang 003; Linchuan Xu; Jing Wang 023; Lei Feng 006; Kenji Yamanishi (IJCAI, 2020)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

Tensorized Multi-view Subspace Representation Learning. - Changqing Zhang; Huazhu Fu; Jing Wang 023; Wen Li 001; Xiaochun Cao; Qinghua Hu (Int. J. Comput. Vis., 2020)

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (Medical Image Anal., 2020)

Generalization Error Bound for Hyperbolic Ordinal Embedding. - Atsushi Suzuki; Atsushi Nitanda; Jing Wang 023; Linchuan Xu; Kenji Yamanishi; Marc Cavazza (ICML, 2021)

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic. - Atsushi Suzuki; Atsushi Nitanda; Jing Wang 023; Linchuan Xu; Kenji Yamanishi; Marc Cavazza (NeurIPS, 2021)

Multi-label learning with missing and completely unobserved labels. - Jun Huang 003; Linchuan Xu; Kun Qian 003; Jing Wang 023; Kenji Yamanishi (Data Min. Knowl. Discov., 2021)

MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. - Linchuan Xu; Jing Wang 023; Lifang He 001; Jiannong Cao 001; Xiaokai Wei; Philip S. Yu; Kenji Yamanishi (IEEE Trans. Knowl. Data Eng., 2021)

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. - Zipei Yan; Linchuan Xu; Atsushi Suzuki; Jing Wang 023; Jiannong Cao 001; Jun Huang 003 (IEEE Big Data, 2022)

Tight and fast generalization error bound of graph embedding in metric space. - Atsushi Suzuki; Atsushi Nitanda; Taiji Suzuki; Jing Wang 023; Feng Tian 006; Kenji Yamanishi (ICML, 2023)

Auto-weighted Graph Reconstruction for efficient ensemble clustering. - Xiaojun Yang; Weihao Zhao; Jing Wang 023; Siyuan Peng; Feiping Nie 001 (Inf. Sci., 2025)

Multitype view of knowledge contrastive learning for recommendation. - Xiao-Jun Yang; Yang-Hui Wu; Zhi-Hao Zhang; Jing Wang 023; Feiping Nie 001 (Neural Networks, 2025)

Outlier Indicator Based Projection Fuzzy K-Means Clustering for Hyperspectral Image. - Xinze Liu; Xiaojun Yang; Jiale Zhang; Jing Wang 023; Feiping Nie 001 (IEEE Signal Process. Lett., 2025)